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Defining and characterizing drug/compound function

Authors: Terry, Kenakin; Michael, Williams;

Defining and characterizing drug/compound function

Abstract

The receptor concept, now more than century old, remains the core concept in understanding the mechanisms of disease causality and drug action. Originally formulated in the early 1900s, receptor theory has evolved in both detail and complexity as the tools of molecular biology and increasingly sophisticated research technologies have facilitated the study of drug/ligand receptor interactions at the molecular level. The result has been a more detailed and nuanced understanding of the parameters of drug action that together with knowledge of the pleotropic nature of cellular targets and associated signaling pathways has reshaped the receptor concept. Added to the basic agonist/antagonist view of drug/ligand function, concepts like allosterism, inverse agonism, biased signaling and compound residence time have provided a broader understanding of compound-target interactions to better inform drug discovery efforts. The iteration of descriptive data from pharmacological experiments to provide generic indices of affinity and efficacy can now be used to predict expected drug/compound effects in other cell/organ systems where the sensitivity of the latter to drug effects (either via expression levels of cell surface receptors or variances in the efficiency with which those receptors are coupled to cytosolic metabolic processes) can be accommodated.

Related Organizations
Keywords

Dose-Response Relationship, Drug, Pharmaceutical Preparations, Drug Discovery, Animals, Humans, Receptors, Cell Surface, Ligands, Protein Binding, Signal Transduction

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
56
Top 10%
Top 10%
Top 10%
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